Grid Nodes Selection Strategies for Power Quality Monitoring

Author:

Liubčuk Vladislav1ORCID,Radziukynas Virginijus1,Naujokaitis Darius1,Kairaitis Gediminas1

Affiliation:

1. Smart Grids and Renewable Energy Laboratory, Lithuanian Energy Institute, 44403 Kaunas, Lithuania

Abstract

In the past few years, technical progress has determined traditional electric power system conversion to Smart Grids, and consequently empowered a worldwide renaissance in the forgotten PQ field. Since the installation of PQ monitors is currently associated with high investments and operational costs, it is inappropriate to install a monitor on each grid busbar. Hence, grid operators must establish the best cost–benefit scenario for monitors installation and achieve maximal observability with a limited number of analyzers. Firstly, this paper presents a review of the state-of-the-art of displacement strategies, and discusses them regarding the tendencies of node selection criteria, the test schemes used, and the grid size. Secondly, the relevant fundamental issues which must be solved in the future in order to eliminate restrictions in PQ monitors’ allocation planning are presented and discussed. These issues concern the treatment, interpretation, and assessment of PQ events, measurement chain technical features, PQ’s role in the grid planning stage, communication technologies, and other remote monitoring aspects, and integration with other Smart Grid applications. The provided insights are based on experience which has been obtained during the PQ measurement campaign in the Lithuanian DSO grid. Finally, a PQ system development strategy—both short-term and long-term perspectives—in the Lithuanian distribution grid is presented, including monitors allocation criteria.

Funder

Lithuanian Energy Institute

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference37 articles.

1. (2010). Voltage Characteristics of Electricity Supplied by Public Electricity Networks (Standard No. EN 50160:2010).

2. (2016). Electromagnetic Compatibility (EMC)—Part 4-30: Testing and Measurement Techniques—PQ Measurement Methods (IEC 61000-4-30:2015) (Standard No. LST EN 61000-4-30:2015).

3. (2019). IEEE Recommended Practice for Monitoring Electric Power Quality (Standard No. IEEE Std 1159-2019).

4. (2019). IEEE Recommended Practice for Power Quality Data Interchange Format (PQDIF) (Standard No. IEEE Std 1159-3-2019).

5. (2011). IEEE Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System (EPS), End-Use Applications, and Loads (Standard No. IEEE Std 2030-2011).

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